The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Selective Depletion of rRNA Enables Whole Transcriptome Profiling of Archival Fixed Tissue
Open accessAbstract
We report a method for Selective Depletion of abundant RNA (SDRNA) species from Human total RNA isolated from formalin-fixed, paraffin-embedded (FFPE) tissue, here demonstrating removal of ribosomal and mitochondrial transcripts from clinical FFPE tissue RNA archived up to 20 years. Importantly, SDRNA removes 98% of targeted RNAs while preserving relative abundance profiles of non-targeted RNAs, enabling routine whole transcriptome analysis of clinically valuable archival tissue specimens by Next-Generation Sequencing.
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Cites
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Stem cell transcriptome profiling via massive-scale mRNA sequencing
Cloonan, N., Forrest, A. R. R., Kolle, G., Gardiner, B. B. A., Faulkner, G. J., Brown, M. K., Taylor, D. F., Steptoe, A. L., Wani, S., Bethel, G., et al. (2008) · Nature Methods · doi:10.1038/nmeth.1223 · Cited by 1,035 · cited 1×
“Whole-transcriptome analysis by Next-Generation Sequencing (NGS) technologies provides an opportunity to dramatically expand the number of biomarkers that can be surveyed in these specimens [1–2].”
Method
Cited by
RNA sequencing: the teenage years
Stark, R., Grzelak, M., & Hadfield, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0150-2 · Cited by 1,915
Comparative analysis of RNA sequencing methods for degraded or low-input samples
Adiconis, X., Borges-Rivera, D., Satija, R., DeLuca, D. S., Busby, M. A., Berlin, A. M., Sivachenko, A., Thompson, D. A., Wysoker, A., Fennell, T., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2483 · Cited by 503
Zika virus evolution and spread in the Americas
Metsky, H. C., Matranga, C. B., Wohl, S., Schaffner, S. F., Freije, C. A., Winnicki, S. M., West, K., Qu, J., Baniecki, M. L., Gladden-Young, A., et al. (2017) · Nature · doi:10.1038/nature22402 · Cited by 403
Identification of recurrent SMO and BRAF mutations in ameloblastomas
Sweeney, R. T., McClary, A. C., Myers, B. R., Biscocho, J., Neahring, L., Kwei, K. A., Qu, K., Gong, X., Ng, T., Jones, C. D., et al. (2014) · Nature Genetics · doi:10.1038/ng.2986 · Cited by 366
Self-citationDynamic RNA acetylation revealed by quantitative cross-evolutionary mapping
Sas-Chen, A., Thomas, J. M., Matzov, D., Taoka, M., Nance, K. D., Nir, R., Bryson, K. M., Shachar, R., Liman, G. L. S., Burkhart, B. W., et al. (2020) · Nature · doi:10.1038/s41586-020-2418-2 · Cited by 336
Metadata
- Authors
- Morlan, J. D., Qu, K., & Sinicropi, D. V.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-08-10
- Volume
- 7
- Issue
- 8
- Pages
- e42882
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2044369757
- Cited by
- 216
- References
- 2
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Selective Depletion of rRNA Enables Whole Transcriptome Profiling of Archival Fixed Tissue. https://app.cochat.ai/papers/10.1371/journal.pone.0042882
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- Morlan, J. D., Qu, K., & Sinicropi, D. V. (2012). Selective Depletion of rRNA Enables Whole Transcriptome Profiling of Archival Fixed Tissue. PLoS ONE. https://doi.org/10.1371/journal.pone.0042882
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
